Summer Research Internship Program 2018

The ECE Department is very pleased to announce the return of the Summer Research Internship Program (SRIP) for continuing ECE undergraduate students and continuing ECE MS students (including first-year MS and continuing BS/MS students). The Summer 2018 program will run 10-weeks from June 25 to August 31, 2018. 

ECE Summer Research Internships are full-time commitments in labs where interns will have the opportunity to observe and participate in the activities of a research group under the supervision of the PI or a member of his/her lab group. The program includes an enrichment component for students consisting of workshops on research communication, research writing, and other pertinent topics. In addition, undergraduate students will have the opportunity to present their work at the Summer Research Conference in August 2018. Research interns selected for this program will receive a summer stipend in the amount of $5,000. Students are expected to commit full-time (40 hours/week) to their internship and not accept other employment.

NEW! This year, we are partnering with a number of companies to give students the opportunity to work as industry interns. Industry interns will be paid at their company’s intern rate.

Students who are offered an internship will be matched with either faculty at UCSD or a company.

Students who are offered an internship must:

  • Participate in an orientation session in June 2018 (Date TBD).
  • Work in the lab for 10 weeks, from June 25 to August 31, 2018.
  • Not accept other employment for the 10-week duration of the program. This is a full-time commitment. Applicants are expected to commit 40 hours per week towards their assignment.
  • Participate in the Summer Research Conference in August 2018 (Date TBD).
  • Participate in program professional development activities.

Tentative timeline:

  • Early November 2017:  Program Announcement. Projects solicited from faculty/companies.
  • November 22, 2017:  Faculty/Company project proposals DUE.
  • December 1, 2017: Projects posted on the website. Intern application opens.
  • December 15, 2017:  Intern application DUE.
  • Late December to Early January 2018:  Faculty/company interviews applicants (up to discretion of PI - selection process varies).
  • Early February 2018:  Applicants notified of application status.
  • Spring 2018:  Students enroll in research credit courses (graduate students enroll in ECE 298; undergraduate students enroll in ECE 199*) and start working on projects.
  • Summer 2018:  Students work at UCSD as a paid intern ($5,000). Students work at the company as a paid intern (rate set by the company).

*The Undergraduate Policy on Special Studies courses: EE, EP, EE & Society majors are allowed only 4 units total of Special Studies courses (197,198,199) to satisfy one elective.











1. Secure Deep Learning

2.  Classifying Synthetic Biology

3.  Audio Recognition at the Edge

4.  Text in Video


1. Deep learning Research on Embedded Device


  1. Audio and Video ML @ Konch.AI


 1. Software Engineering Internship for Sustainable Procurement Data Science Company






Abi-Samra, Nicholas

1. Dynamic models for three ancillary services for battery energy storage systems (BESS)

2. Frequency Scan tool for subsynchronous resonance studies

3. A spatial load forecasting tool accounting for PV and EV penetration

An, Cheolhong

1.  Parallel lossless compression on GPU

2.  Real-time GPU Database and Interactive Visualization

3.  CNN: Image sensor to color image

Atanasov, Nikolay

1. Build a robot from scratch and make it move!

Baghdadchi, Saharnaz

1.  Trapping and manipulating particles with highly focused beams

2.  Imaging through scattering using spatially encoded optical beams

Bandaru, Prabhakar (MAE)

1. Electrical characteristics, and quantum capacitance of two-dimensional materials

2.  Thermal characteristics of graphene, for device applications

Cosman, Pam

1.  Using eye-tracking glasses to quantify looks in social interactions

Cosman, Pam and Taswell, Carl 

1. Development of Algorithms for Rendering, Region-Segmenting and Path-Following in BrainWatch VR Software

Cubukcu, Ertugrul

1. Two-dimensional optical antennas

Depp, Colin

1.  Brief mobile intervention for suicide prevention in the community

Garudadri, Hari

1. Multisensory stimulus to promote executive function and motor competence

2. High density, high resolution, wireless wearable EEG

Gerstoft, Peter

1. Sparse modeling and machine learning in geoscience

2.  MIMO Array Processing for Atmospheric Duct Detection

Hylton, Todd

1.  A smart camera using predictive machine learning

Jaffe, Jules

1.  Enabling Real-Time Video Control Underwater via an LED Communications Array

2.  Nano-AUV Low Cost Microscopy and Sensing

Javidi, Tara

1. Real-time Object detection and Tracking for Self-driving Cars, Assistive Drones, and Smart Homes

2. Drone formations for wireless connectivity

3. From Smart Cities to Connected Vehicles

Khoshabeh, Ramsin

1. PiB: Learning Python

2.  PIB: iOS App Development

3.  PIB: Augmented Reality

4.  PiB: Android App Development

5.  PiB: Artificial Intelligence

6.  Intelligent Whiteboard Capture with ML

7.  Intelligent Whiteboard Capture API

Kleinfeld, David (Physics)

1.  Few GHz pulse counter for PMT output

Kuzum, Duygu

1. Deep Neural Nets for Biophysical Modeling of Brain Networks

2.  Neuromorphic systems for unsupervised learning

3.  Implatable Neurodevices for Probing Brain Circuits

Leung, Vincent

1.  Enabling a Wireless Communication Network of Brain Implants

2.  Develop a hands-on Wireless Communication Project based on NI’s SDR Platform

Liu, Zhaowei

1. High speed optical imaging

Lo, Yu-Hwa

1. Detection of single photons

2.  Wearable medical devices for detection of blood flow and cardio output

3.  3D imaging flow cytometer and cell sorter

Milstein, Larry

1.  Machine Learning for Cognitive Radio

Mi, Chris

1.  Wireless Charging of Multiple Mobile Devices Over a Large Distance

Ng, Tina

1. Recording Repetitive Behaviors in Autism

2.  Polymer photodiode for infrared spectrum

Nguyen, Truong

1. Camera Systems for 3D Scene Reconstruction

2.  Transmission of Touch VR

3.  High quality free viewpoint video generation

Schurgers, Curt

1.  Engineers for Exploration

Silberman, Jack

1.  UC San Diego Smart Open Source Wheelchair

2.  UCEMBDEV (University of California Embedded Systems Development Testbed for Robotics)

3.  UCESCR (University of California San Diego Electronic Speed Controller for Robotics)

Taur, Yuan

1.  Modeling of MOSFET output conductance in the saturation region

Vasconcelos, Nuno

1. Image collection with drones

2.  Deep learning to measure image quality

3.  Deep Learning for Object Size Estimation from Real World Images

4.  Using synthetic data for training deep learning systems

5.  Efficient Deep Learning for Drones and Smart Phones

6.  The role of context in object detection

7.  Deep Learning for Biological Imaging

8.  Multi-frame visual recognition

9.  Synthesize hand gesture sequences for deep learning

10.  Action prediction in videos using Convolutional Neural Networks

Yip, Mike

1.  Snake robot for colonoscopy

2.  Reinforcement Learning in OpenAI Gym

3.  Automating Robotic Surgery

Yu, Angela

1. Computational Modeling of Human Face Processing

Zhang, Xinyu

1.  An Android App for Indoor Navigation

2.  Sensing heart rate using WiFi

3.  Enabling 5G Mobile Wireless Networks At Scale

4.  A Hardware Platform to Support 5G Communications and Wireless Sensing Applications








Abi-Samra, Nicholas

1. Consolidating Solar Resource Data Sets for the USA (primary objective) and globally (secondary objective)

2. Analyze PV Impacts on several distribution feeders

3. Produce a tool to assess the impact of increased electric vehicles (EVs) on distribution transformers and failure risk

1. Yash Ranjan & Haoran Wang (Undergrads)

2. Hamna Khan & Martin Magno (Undergrads)

3. Yi Hui Chen & Ali Jafrani (Undergrads)

Atanasov, Nikolay 1. Build a Quadrator from Scratch 1. Siwei Guo (MS)
Bandaru, Prabhakar (MAE)

1. Synthesis and characterization of defect-free graphene for electronics

1. Yi Shen Ooi & Abhijeet Pasumarthy (MS)

Bott-Suzuki, Simon

1. A multiple output digital delay module for diagnostic timing

1. Camille Lee & Christian Perez Castanaza (Undergrads)

Cosman, Pam

1. Image/video color and visibility restoration


2. Predicting video packet importance

1. Vivian Meng & Yalun Zheng (Undergrads)

2. Mehmet Can Hucumenoglu, Shivika Pathania & Ankitesh Singh (MS)

Cubukcu, Ertugrul

1. Monolayer Photonics

1. Xiaojie Zhang (MS)

Dow, Steven (Cog Sci) and Don Norman (ECE/Cog Sci/Psych) 1. Enabling Crowdsourced Visualizations to Support Large-Scale Civic Engagement 1. Justin Tran (Undergrad), Yikun Huang (MS)
Garudadri, Hari

1. Hardware design for a wearable, realtime, open speech platform

2. Quantifying degree of abnormality in movement tasks by Parkinson Disease (PD) patients

3. Wearable EEG Sensor

4. Rady Glove Project

5. Embedded Programming

1. Rui Han & Ningwei Li (Undergrads)

2. Krishna Chaithanya Vastare (MS)

3. Yuxuan Liu (Undergrad), Jingyi Yang (MS)

4. Yiyu Zhu (Undergrad), Yifeng Bu (MS)

5. Simon Fong, Andrew Yoo & Hendry Joe (Undergrads)

Gerstoft, Peter 1. Compressive and sparse methods in acoustic/EM signal processing 1. Shashankar Sudarsan (MS)
Ghoudjehbaklou, Hassan

1. Estimating dynamic parameters of Distributed Energy Resource (DER) models

1. Kevin Abler (Undergrad)
Gilja, Vikash

1. Neural Signal Processing Swiss Army Knife

2. Semi-automated system for labeling patient behavior

1. Stephen Estrin (Undergrad)

2. Kenny Chen & Chenghao Gong (Undergrads)

Javidi, Tara

1. Real-time Object detection and Tracking for Self-driving Cars, Assistive Drones, and Smart Homes

2. From Smart Cities to Connected Vehicles

3. Design Prototyping Software for Artists

1. Bharat Kambalur (MS)

2. Govind Gopal & Weijia Wang (MS)

3. Kavya Putluri (MS), Yizhou Hao (Undergrad), Chenhua Shi (Undergrad)

Khoshabeh, Ramsin and Raul Pegan

1. IoT, Data Analytics, Computer Vision, and More…


2. Glasses-free 3D and Reconstruction from Stereo

1. Abhiram Iyer (Undergrad), Keith Yu (Undergrad), Akash Agrawal (MS)

Kreutz-Delgado, Ken 1. Digital Neuromorphic Implementation of Deep Neural Networks 1. Ian Colbert (Undergrad)
Kuzum, Duygu

1. Modeling Brain Circuits

1. Zhuoran Gu & Leon Nguyen (MS)
Liu, Zhaowei

1. Instrument for stroke therapy


2. LED based Li-Fi communication

1. Yixiong Li

2. Joseph Kadifa (Undergrad), Tiansong Zhang (MS)

Lo, Yu-Hwa 1. Biomedical devices and systems for point of care and precision medicine 1. Xingyu Huang & Rui Tang (MS)
Maralani, Ayden

1. Transistor Design and Simulation


2. Transistor Characterization and Modeling

3. SOI CMOS IC Design and Simulation


4. Power Converter Design and Simulation

1. Jack Harms (Undergrad), Samuel Harms (Undergrad), Ping-Chien Lee (MS)

2. Joshua Cho (Undergrad)

3. Zhongzhong Dong & Wenxuan Zhang (Undergrads)

4. Johnny Wang (Undergrad)

Mi, Chris 1. A Wireless Charging System for Electric Vehicles 1. Haili Cai (Undergrad)
Mirarab, Siavash

1. New methods for inference of unbalanced phylogenetic trees

1. Shenghao Jiang (Undergrad)

Ng, Tina

1. Short-Wavelength Infrared Photodiodes Based on Modular Tunable Conjugated Polymers

1. Rong Xi (Undergrad)

Nguyen, Truong

1. Multimodal Denoising Autoencoders

2. Human/hand pose estimation using machine learning

3. 3D reconstruction system using RGB-D camera

4. Testbed for free viewpoint indoor touring system


5. Optimal design of a microgrid considering uncertain energy market parameters

6. Real-time Texturing in Free Viewpoint Video

7. Image and Video Defencing

1. Anirudh Ravichandran (MS)

2. Nan Jiang (MS)

3. Shiyuan Huang (Undergrad), Zhongjian Zhu (MS)

4. Nasrin Enayatzadeh (Undergrad), Seyedehelham Sadatian (Undergrad), Chih-yin Kan (MS)

5. Shayan Ghaderi & Khai Tran (Undergrads)

7. Chen Du (MS)

Pal, Piya

1. Blind Deconvolution and Super resolution Imaging

1. Anthony Haas & Yikun Xu (MS)

Vasconcelos, Nuno

1. Fast face/hand detection and tracking for gesture video

2. Light-weight CNN for pose estimation in gesture video

3. Facial landmark localization with deep learning

4. Image collection with drones

5. Real-time object detection on drones

6. Biological imaging

1. Harshita Mangal (MS), Akshaya Purohit (MS)

2. Yuhan Chen (Undergrad), Hao Jiang (MS), George Ma (MS)

3. Yang Zhang (MS)

4. Amir Persekian (Undergrad)

6. Xinxin Chen (Undergrad)

Yip, Mike

1. Haptics for minimally invasive robotic surgery

2. Learning robot locomotion via reinforcement learning

3. MRI-safe robot design and image-based control

4. Reducing tumor resection margins via natural medical image overlays through wireless augmented reality headsets

1. Guangyan Shen (Undergrad), Mayur Bency (MS)

2. Ojash Neopane (Undergrad)

3. Andrew Saad & Dimitri Schreiber (Undergrads)

4. Yuqi Zhang (MS)

Yu, Angela

1. Predicting human decision-making using mouse tracking and eye blink rate monitoring

1. Jianling Liu (Undergrad), Girish Bathala (MS)